Submodular Attribute Selection for Action Recognition in Video
暂无分享,去创建一个
Rama Chellappa | P. Jonathon Phillips | Jingjing Zheng | Zhuolin Jiang | P. Phillips | R. Chellappa | Zhuolin Jiang | Jingjing Zheng
[1] Nuno Vasconcelos,et al. Recognizing Activities by Attribute Dynamics , 2012, NIPS.
[2] Jitendra Malik,et al. Recognizing action at a distance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[3] Fei-Fei Li,et al. Learning latent temporal structure for complex event detection , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Zhuowen Tu,et al. Action Recognition with Actons , 2013, 2013 IEEE International Conference on Computer Vision.
[5] Larry S. Davis,et al. Label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Thomas Mensink,et al. Improving the Fisher Kernel for Large-Scale Image Classification , 2010, ECCV.
[7] M. Elad,et al. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.
[8] Cordelia Schmid,et al. Action Recognition with Improved Trajectories , 2013, 2013 IEEE International Conference on Computer Vision.
[9] Mubarak Shah,et al. UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild , 2012, ArXiv.
[10] Iasonas Kokkinos,et al. Discovering discriminative action parts from mid-level video representations , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Cordelia Schmid,et al. Dense Trajectories and Motion Boundary Descriptors for Action Recognition , 2013, International Journal of Computer Vision.
[12] Abhimanyu Das,et al. Selecting Diverse Features via Spectral Regularization , 2012, NIPS.
[13] Larry S. Davis,et al. Recognizing actions by shape-motion prototype trees , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[14] Jianxin Wu,et al. Towards Good Practices for Action Video Encoding , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Ali Farhadi,et al. Describing objects by their attributes , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Silvio Savarese,et al. Recognizing human actions by attributes , 2011, CVPR 2011.
[17] Christoph H. Lampert,et al. Learning to detect unseen object classes by between-class attribute transfer , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Juan Carlos Niebles,et al. Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification , 2010, ECCV.
[19] Serge J. Belongie,et al. Behavior recognition via sparse spatio-temporal features , 2005, 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance.
[20] Greg Mori,et al. Action recognition by learning mid-level motion features , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[21] Hui Lin,et al. A Class of Submodular Functions for Document Summarization , 2011, ACL.
[22] Jason J. Corso,et al. Action bank: A high-level representation of activity in video , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Andreas Krause,et al. Submodular Dictionary Selection for Sparse Representation , 2010, ICML.
[24] Rishabh K. Iyer,et al. Fast Semidifferential-based Submodular Function Optimization , 2013, ICML.
[25] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[26] Rama Chellappa,et al. Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Larry S. Davis,et al. Representing Videos Using Mid-level Discriminative Patches , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[28] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .
[29] M. L. Fisher,et al. An analysis of approximations for maximizing submodular set functions—I , 1978, Math. Program..
[30] Yang Wang,et al. Max-margin hidden conditional random fields for human action recognition , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Andreas Krause,et al. Near-optimal sensor placements in Gaussian processes , 2005, ICML.
[32] Mubarak Shah,et al. Learning semantic visual vocabularies using diffusion distance , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Ivan Laptev,et al. On Space-Time Interest Points , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[34] Ronen Basri,et al. Actions as space-time shapes , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[35] Jeff A. Bilmes,et al. Submodular feature selection for high-dimensional acoustic score spaces , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[36] Matthew J. Streeter,et al. An Online Algorithm for Maximizing Submodular Functions , 2008, NIPS.
[37] Andreas Krause,et al. Cost-effective outbreak detection in networks , 2007, KDD '07.
[38] Stefano Soatto,et al. Tracklet Descriptors for Action Modeling and Video Analysis , 2010, ECCV.